class_docstr: LatentVariable Class
  
  Parameters
  ----------
  name : str
      Name of the latent variable
  
  index : int
      Index of the latent variable
  
  prior : Prior object
      The prior for the latent variable, e.g. Normal(0,1)
  
  q : fam.[dist] object
      The variational distribution for the latent variable, e.g. Normal(0,1)
code: def __init__(self, name, index, prior, q):
      self.name = name
      self.index = 0
      self.prior = prior
      self.transform = self.prior.transform
      self.start = 0.0
      self.q = q
  
imports: import numpy
  import pandas
  from .covariances import acf
  from .output import TablePrinter
  from .inference import *
  from .families import Normal, t, TruncatedNormal, Cauchy, Skewt, InverseGamma, Flat, InverseWishart, Laplace
label_desc: Use image node_id 1 to create a new LatentVariable object from inherited base classes: object with example: obj = LatentVariable(name, index, prior, q)